A new method for estimating solubility of fatty acids, esters, and ...

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oleate (mC18:1), ethyl stearate (eC18), ethyl oleate (eC18:1), ethyl linoleate (eC18:2), ethyl eicosapentanoate (EPA), ethyl docosahexanoate (DHA), triolein ...

A New Method for Estimating Solubility of Fatty Acids, Esters, and Triglycerides in Supercritical Carbon Dioxide Vanessa R. Vasconcellos and Fernando A. Cabral* Department of Food Engineering, DEA-FEA, State University of Campinas–UNICAMP, Campinas, SP, Brazil, 13083-970

ABSTRACT: A method to predict solubility of fat compounds (fatty acids, fatty acid esters, and triglycerides) in supercritical CO2 in the absence of experimental data is presented. The method is based on the idea of group contribution, so only knowledge about the chemical structure of the substance is needed to predict its solubility in CO2. Chrastil´s equation was used to correlate the solubilities of fatty acids, fatty acid esters, and triglycerides in CO2. The three parameters determined from fitting of the data were calculated. A nonlinear fit routine was used to determine the chemical group contributions to the three parameters. Analysis of the results shows that it is possible to correlate the parameters of Chrastil´s equation to molecular groups. The average deviation from the experimental data was 8%. Paper no. J9689 in JAOCS 78, 827–829 (August 2001). KEY WORDS: Chrastil equation, fatty acid esters, fatty acids, group contribution method, prediction of solubility, supercritical carbon dioxide.

Supercritical solvents exhibit properties intermediate between gases and liquids. They exhibit viscosities and diffusivities comparable to those of gases, yet densities comparable to liquids. Consequently, mass transfer rates may approach those of gases and solubilities those of liquids Review of literature on edible oils points to strong interest in purification and fractionation processes involving near-critical and supercritical fluids. Potential applications range from extraction of vegetable oils from various crops such as soybeans and canola to fractionation of alkyl esters derived from fish oils, resulting in concentration of individual ω-3 fatty acids. To evaluate applications for supercritical extraction and fractionation, one must be able to estimate the solubility of the material in the supercritical solvent. One way to do this is using the model developed by Chrastil (1), which correlates solubility as a function of temperature and density, by adjusting three parameters to the experimental data. The Chrastil equation has been used to correlate experimental data of different substances in supercritical gases, especially for modeling solubility of oils and its components. *To whom correspondence should be addressed at Department of Food Engineering, DEA-FEA, State University of Campinas–UNICAMP, P.O. Box 6121, Campinas, SP, Brazil, 13083-970. E-mail: [email protected] Copyright © 2001 by AOCS Press

Since the experimental approach to supercritical fluid extraction is understandably complex, time-consuming, and very expensive, it is of paramount importance to have theoretical methods that can be used to evaluate the solubility of a solute and how it varies with pressure and temperature of a fluid in the supercritical range (2). In this paper, a group contribution method is developed to allow the estimation of the three parameters of the Chrastil equation and in this way predict solubility of fatty acids, fatty acid esters, and triglycerides in supercritical carbon dioxide (SC-CO2) in the absence of experimental data, based uniquely upon the chemical structure. MATERIALS AND METHODS Experimental solubility data were collected from literature (1,3–18) for the following systems: lauric acid (C12), myristic acid (C14), palmitic acid (C16), stearic acid (C18), oleic acid (C18:1), linoleic acid (C18:2), methyl myristate (mC14), methyl palmitate (mC16), methyl stearate (mC18), methyl oleate (mC18:1), ethyl stearate (eC18), ethyl oleate (eC18:1), ethyl linoleate (eC18:2), ethyl eicosapentanoate (EPA), ethyl docosahexanoate (DHA), triolein (OOO), tristearin (SSS), tripalmitin (PPP), and trilinolein (LLL). All the experimental data were written in terms of the mass fraction Y (kg solute/kg CO2). The concentration of the solute in the light phase is low, so it is possible to consider the density of the light phase as being equal to the CO2 density at the same temperature and pressure conditions, which was calculated with the Huang equation (19) and which reproduces experimental values from Angus et al. (20). Chrastil’s equation was used to correlate the experimental data. Chrastil assumed formation of a solvato complex between solute and solvent molecules (in this case, CO2 molecules) in the dense gas phase. At phase equilibrium, Chrastil’s model gives a linear relationship between the logarithm of solubility and the logarithm of SC-CO2 density [Maheshwari et al. (3)], which can be expressed in Equation 1: a ln Y = ( k − 1) ln ρ +  + b T 


where Y is the solubility (kg/kg CO2), ρ is the density of the SC-CO2 (kg/m3), and T is the temperature (K). The constants


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TABLE 1 Group Contributions Valuesa Groups P0 CH3– –CH2– –HC=CH– –COOH –COOCH3 –COOCH2CH3 Glycerate (Fig. 1) for unsaturated substances Glycerate (Fig. 1) for saturated substances.

∆a –676.93 –180.00 –180.00 –1600.0 –3254.9 1551.9 2097.9 10507



∆b –85.967 3.4450 3.4450 −5.743 6.7829 1.4028 5.0816 –49.299 FIG. 1. The glycerate group. –140.55


∆k, ∆a, ∆b group contribution to the parameters k, a, b, respectively.

k, a, and b are parameters to be adjusted to the experimental data by linear regression analysis. The three parameters of the Chrastil equation were obtained for the systems: C12, C14, C16, C18:1, C18:2, mC14, mC16, mC18 , mC18:1, eC18:1, eC18:2, SSS, and OOO [this last one from Ribeiro and Bernardo-Gil (4)]. These values were used to determine the group contributions in the simple model in Equation 2: NG

q(i ) = P0 + ∑ ( ∆q ) j


j =1

where q is the parameter k, a, or b for the molecule i; P0 is a constant determined separately for each parameter; and (∆q)j is the group contribution (∆k, ∆a, or ∆b) for the parameter q. A nonlinear fit routine (Simplex method, using the program package Statisca; Statsoft, Tulsa, OK) was used to determine these group contributions, which are listed in Table 1. For triglycerides, it was defined as a group called Glycerate, represented in Figure 1. Once the three parameters were estimated through group contribution, they were substituted in the Chrastil’s equation, and the solubility Ycalc was calculated. The deviations were Xj =

Xm =

Y exp − Y calc Y exp 1 NED ∑ Xj NED j =1


For all the substances studied, the experimental data published by different investigators presented great discrepancies, as illustrated in Figure 2 for oleic acid. Figure 2 also shows the predicted values for this substance, using group contribution. Different authors from the literature were selected for each substance in order to maintain a greater universe of data. It is reasonable to suppose that the correct value must be in this range of data. This choice leads to greater Xm and Em values, because there is only one calculated solubility value for a given pressure and temperature, but different— sometimes very different—experimental solubility values. Table 2 shows the parameters k, a, and b obtained by group contribution as well as the deviations between the calculated solubility values and the experimental ones. The deviations Xm and Em seem to be quite high, but it must be stressed that they are a mean over the deviations calculated with different experimental data, from different authors, compared to different values of data.



∆k 14.863 –0.5000 –0.5000 1.5132 0.165 –0.7295 –1.5577 4.8774


obtained using the relations Equations 3–5: Em =

1 NED ∑ Xj NED j =1


where NED is the number of experimental data points; Ycalc and Yexp are the calculated and experimental solubility values, respectively, and Xj is the module of Xj.

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FIG. 2. Comparison between experimental data published by different authors for a CO2–oleic acid (C18:1) system. The lines are the predicted solubilities using the Chrastil´s equation with the parameters estimated by group contribution. Following are the temperatures and references: ■ 303 K (15); ■ 313 K (3); ● 313 K (8); ● 313 K (10); ▲ 313 K (15); ▲ 323 K (3); ▼ 323 K (15); ▼ 333 K (3); ◆ 333 K (8); ◆ 333 K (10); ✷ 353 K (8). Error bars were defined by cited authors.

PREDICTION OF SOLUBILITY IN SUPERCRITICAL CO2 TABLE 2 Parameters k, a, and b Estimated by Group Contributions and Deviations Between the Predicted and Experimental Solubility Valuesa System C12 C14 C16 C18:1 C18:2 mC14 mC16 eC18 mC18:1 eC18:1 eC18:2 OOO SSS C18* mC18* EPA (eC20:5)* DHA (eC22:6)* PPP* LLL*



9.53 8.53 7.53 9.02 11.6 7.63 6.63 4.81 8.10 7.32 9.83 1.78 9.75 5.53 5.63 16.4 17.9 12.8 9.32

–5912 –6272 –6632 –8232 –9472 –1425 –1825 –1639 –3425 –2879 –4119 –3070 –8771 –6992 –2185 –8199 –9799 –7691 –6790

b –41.3 –33.9 –27.5 –32.8 –45.5 –39.8 –32.8 –22.3 –38.6 –35.0 –47.6 2.529 –39.4 –21.5 –26.0 –78.6 –84.3 –60.5 –35.4

Xm (%) –8.9 11 14 –39 19 37 13 47 4.1 5.3 –7.8 — –11 0.90 18 46 –47 3.5 80

5. Em (%) 26 43 46 53 26 37 28 48 27 17 19 — 12 58 33 51 52 37 142


7. 8.

9. 10. 11.


Asterisk (*) indicates substances that did not participate in the fit routine to determine the group contributions k, a, b parameters of the Chrastil´s equation estimated by group contribution, Xm, Em deviation, Equations 3 to 5. OOO, triolein; SSS, tristearin; PPP, tripalmitin; LLL, trilinolein; EPA, ethyl eicosapentanoate; DHA, ethyl docosahexanoate; C12, lauric acid; C14, myristic acid; C16, palmitic acid; C18, stearic acid; C18:1, oleic acid; C18:2, linoleic acid; C14, methyl myristate; C16, methyl palmitate; eC18, ethyl stearate; C18, methyl oleate; eC18:1, ethyl oleate; eC18:2, ethyl linoleate; C18, methyl stearate.

For triglycerides, the quantity of experimental data found in literature was not sufficient to make a more consistent statistical analysis; so, it was only possible to adjust a model by considering two different values for the “glycerate” group, one for saturated and the other for unsaturated substances. ACKNOWLEDGMENTS

12. 13. 14. 15.



The grant for this research was supported by FAPESP (98/00337-3). The authors thank the referees for their suggestions. 18.

REFERENCES 1. Chrastil, J., Solubility of Solids and Liquids in Supercritical Gases, J. Phys. Chem. 86:3016–3021 (1982). 2. Vetere, A., A Short-Cut Method to Predict the Solubilities of Solids in Supercritical Carbon Dioxide, Fluid Phase Equil. 148:83–93 (1998). 3. Maheshwari, P., Z.L. Nikolov, T.M. White, and R. Hartel, Solubility of Fatty Acids in Supercritical Carbon Dioxide, J. Am. Oil Chem. Soc. 69:1069–1076 (1992). 4. Ribeiro, M.A., and M.G. Bernardo-Gil, Solubility of Triolein in

19. 20.


Supercritical Carbon Dioxide, J. Chem. Eng. Data 40: 1188–1192 (1995). Bamberger, T., J.C. Erikson, and C.L. Cooney, Measurement and Model Prediction of Solubilities of Pure Fatty Acids, Pure Triglycerides, and Mixtures of Triglycerides in Supercritical Carbon Dioxide, Ibid. 33:327–333 (1988). Bharath, R., H. Inomata, K. Arai, K. Shoji, and Y. Noguchi, Vapour-Liquid Equilibria for Binary Mixtures of Carbon Dioxide and Fatty Acid Methyl Esters, Fluid Phase Equil. 46:41–52 (1989). Bharath, R., H. Inomata, K. Arai, K. Shoji, and Y. Noguchi, Vapor-Liquid Equilibria for Binary Mixtures of Carbon Dioxide and Fatty Acid Ethyl Esters, Ibid. 50:315–327 (1989). Bharath, R., H. Inomata, T. Adschiri, and K. Arai, Phase Equilibrium Study for the Separation and Fractionation of Fatty Oil Components Using Supercritical Carbon Dioxide, Ibid. 81:307–320 (1992). Bharath, R., S. Yamane, H. Inomata, T. Adschiri, and K. Arai, Phase Equilibria of Supercritical CO2–Fatty Oil Component Binary Systems, Ibid. 83:183–192 (1993). Brunetti, L., A. Daghetta, E. Fedeli, and L. Zanderighi, Deacidification of Olive Oils by Supercritical Carbon Dioxide, J. Am. Oil Chem. Soc. 66:209–217 (1989). Inomata, H., T. Kondo, S. Hirohama, K. Arai, Y. Suzuki, and M. Konno, Vapour-Liquid Equilibria for Binary Mixtures of Carbon Dioxide and Fatty Acids Methyl Esters, Fluid Phase Equil. 46:41–52 (1989). Liang, J.H., and A.I. Yeh, Process Conditions for Separating Fatty Acid Esters by Supercritical CO2, J. Am. Oil Chem. Soc. 68:687–692 (1991). Liong, K.K., N.R. Foster, and S.S.T. Ting, Solubility of Fatty Acids Esters in Supercritical Carbon Dioxide, Ind. Chem. Res. 31:400–404 (1992). Rizvi, S.S.H., A.L. Benado, J.A. Zollweg, and J.A. Daniels, Food Technol. 40:55 (1986). Cited in Liang, J.H., and A.I. Yeh, J. Am. Oil Chem. Soc. 68:687–692 (1991). Skerget, M., Z. Knez, and M. Habulin, Solubility of β-Carotene and Oleic Acid in Supercritical Carbon Dioxide and Data Correlation by a Density Based Model, Fluid Phase Equil. 109:131–138 (1995). Nilsson, W.B., E.J. Gauglitz, Jr., and J.K. Hudson, Solubilities of Methyl Oleate, Oleic Acid, Oleyl Glycerols and Oley Glycerol Mixtures in Supercritical Carbon Dioxide, J. Am. Oil Chem. Soc. 68:87–91 (1991). Nilsson, W.B., and J.K. Hudson, Solubility of Simple and Mixed Triglycerols in Supercritical Carbon Dioxide, Ibid. 70:749–754 (1993). Weber, W., S. Petkov, and G. Brunner, Vapour-Liquid-Equilibria and Calculations Using the Redlich-Kwong-Aspen Equation of State for Triestearin, Tripalmitin and Triolein in CO2 and Propane, Fluid Phase Equil. 158–160:695–706 (1999). Huang, F.H., M.H. Li, L.L. Lee, K.E. Starling, and F.T.H. Chung, An Accurate Equation of State for Carbon Dioxide, J. Chem. Eng. Japan 18:490–496 (1985). Angus, S., B. Armstrong, and K.M. de Reuck, in Carbon Dioxide: International Thermodynamic Table of the Fluid State, Vol. 3, Pergamon Press, New York, 1976, p. 266. [Received July 6, 2000; accepted April 12, 2001]

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